Lead AI Safety and Enablement Engineer
Company: Exact Sciences
Location: San Diego
Posted on: April 4, 2026
|
|
|
Job Description:
Help us change lives At Exact Sciences, we’re helping change how
the world prevents, detects and guides treatment for cancer. We
give patients and clinicians the clarity needed to make confident
decisions when they matter most. Join our team to find a
purpose-driven career, an inclusive culture, and robust benefits to
support your life while you’re working to help others. Position
Overview The Lead AI Safety and Enablement Engineer ensures the
safe, reliable and scalable use of AI and machine learning across
Exact Sciences. This role focuses on developing and implementing
systems, tools, and frameworks that embed responsible AI principles
into the organization’s technology ecosystem. The position combines
software engineering expertise with a strong understanding of AI
risk management, compliance, and observability. This role is based
in one of our office location. Relocation assistance provided to
those not local to the area and willing to relocate. Essential
Duties Include, but are not limited to, the following: - Support
implementation of enterprise standards for AI safety, transparency,
and reliability. - Develop and maintain shared AI safety tools such
as model catalogs, metadata registries, and monitoring systems for
bias, drift, and performance. - Build APIs, templates, and SDKs
that integrate governance and validation into AI/ML development
pipelines. - Contribute to the design of observability and
telemetry solutions for continuous monitoring of model and data
quality. - Collaborate with Legal, Privacy, Compliance, and InfoSec
teams to translate AI policies into automated controls and
technical safeguards. - Work with ML and GenAI teams to embed
validation and safety checkpoints in AI workflows. - Participate in
cross-functional reviews and discussions supporting AI governance
and responsible AI practices. - Promote awareness and adoption of
responsible AI principles through tools, documentation, and
knowledge sharing. - Support and comply with the company’s Quality
Management System policies and procedures. - Uphold company mission
and values through accountability, innovation, integrity, quality,
and teamwork. - Maintain regular and reliable attendance. - Ability
to act with an inclusion mindset and model these behaviors for the
organization. Minimum Qualifications - Bachelor’s degree in
Computer Science, Software Engineering, Artificial Intelligence, or
a related field. - 8 years of experience in software, ML systems,
or platform engineering. - Practical experience with AI lifecycle
tools (e.g., MLflow, Arize, WhyLabs, Label Studio). - Proficiency
in Python, CI/CD processes, and cloud platforms (AWS, Azure, or
GCP). - Experience developing scalable and compliant ML systems and
tools. - Applicants must be currently authorized to work in country
where work will be performed on a full or part-time basis. We are
unable to sponsor or take over sponsorship of employment visas at
this time. Preferred Qualifications - Master’s degree in Computer
Science, Data Engineering, or AI. - Experience implementing AI
assurance, observability, or risk management frameworks. -
Knowledge of GenAI, LLM evaluation, and prompt safety practices. -
Familiarity with FDA, HIPAA, or GxP compliance standards. LI-CB1
Salary Range: $184,000.00- $276,000.00 The annual base salary shown
is for this position located in US - WI - Madison on a full-time
basis and may differ by hiring location. In addition, this position
is bonus eligible. Exact Sciences is proud to offer an employee
experience that includes paid time off (including days for
vacation, holidays, volunteering, and personal time), paid leave
for parents and caregivers, a retirement savings plan, wellness
support, and health benefits including medical, prescription drug,
dental, and vision coverage. Learn more about our benefits. Our
success relies on the experiences and perspectives of a diverse
team, and Exact Sciences fosters a culture where all employees can
develop personally and professionally with a sense of respect and
belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on
the latest news and opportunities at Exact Sciences. We are an
equal employment opportunity employer. All qualified applicants
will receive consideration for employment without regard to
disability, protected veteran status, and any other status
protected by applicable local, state, or federal law. To view the
Right to Work, E-Verify Employer, and Pay Transparency notices and
Federal, Federal Contractor, and State employment law posters,
visit our compliance hub. The documents summarize important details
of the law and provide key points that you have a right to
know.
Keywords: Exact Sciences, La Mirada , Lead AI Safety and Enablement Engineer, IT / Software / Systems , San Diego, California
